Információk az e-könyvről
The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).
A szerzőről
Arti Jain is working as Assistant Professor (Sr. Grade) in the Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India. She has 20+ years of academic experience. She is a Sr. Member of IEEE, member of IAENG, INSTICC, IFERP, and TERA. She is an editorial board member of several IGI Global journals. She is an International scientific committee member of International Conferences held in Turkey, Portugal, Maldives, and UAE. She has served as a reviewer of reputed and peer-reviewed International Journals and has guest-edited Special Issues. She is a PC member of many International Conferences and has Chaired Special Sessions. She is an invited speaker for various workshops, seminars, FDPs, and conferences affiliated with India, China, UK, and USA. She has published 02 books, and 35 research papers in indexed international journals, book chapters, and conferences. She is supervising 2 Ph.D. candidates. Her research interests include natural language processing, machine learning, data science, deep learning, social media analytics, soft computing, big data, and data mining.
John Wang is a professor in the Department of Information Management and Business Analytics at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with two special range adjustments in 2006 and 2009, respectively. He has published over 100 refereed papers and seventeen books. He has also developed several computer software programs based on his research findings. He serves as Editor-in-Chief for ten Scopus-indexed journals, such as Int. J. of Business Analytics, Int. J. of Information Systems and Supply Chain Management, Int. J. of Information Systems in the Service Sector, Int. J. of Applied Management, Int. J. of Information and Decision Sciences, Int. J. of Data Mining, Modelling and Management, etc. He is the Editor of Encyclopedia of Business Analytics and Optimization (five volumes), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.
Rajesh Kumar Pateriya is working as Professor in CSE Department of MANIT Bhopal, Madhya Pradesh India. Prof. Pateriya’s research is mainly focused on Information security and Cloud Computing, he has published more than 80 papers in peer reviewed international journals and conferences. [Editor]
